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Salary: CAD 108,000 - 149,000 / annual
Okta is seeking a Senior Technical Program Manager to serve as the Okta Research & Design (ORD) Jira Owner and Administrator. Nested within the TPM organization, you will define and execute the strategy for how ORD plans, tracks, and reports on engineering work across the full Atlassian toolchain (Jira, Jira Advanced Roadmaps, Confluence, Rovo, and AI integrations). You will act as a critical bridge between product and technical leadership, agile teams, and cross-functional business units—translating methodology, best practices, and process frameworks into practical workflow improvements that accelerate delivery and reduce manual overhead for a 1,000+ person engineering, product, and design organization.
Core responsibilities include:
**Platform Ownership & Strategic Tooling Direction:** Define and implement an AI-led strategy for utilizing Jira for product planning, tracking, and reporting. Maintain complete ORD ownership of the toolchain, overseeing architecture, schema updates, workflow management, screen/notification schemes, custom fields, permission sets, and AI integrations. Design a highly automated, self-service model that scales with organizational growth. Lead evaluation, piloting, and rollout of AI-powered tooling (Atlassian Rovo, Claude for Jira, AI Companion) to automate ticket triage, sprint planning suggestions, and status summarization.
**Engineering Process Optimization & Standardization:** Partner closely with Product Management, Engineering, QA, and Security to align tool mechanics with release cadences, secure SDLC requirements, and change control policies. Standardize Jira workflows to track key engineering pillars uniformly (New Feature Development, Architecture Improvements, Run-the-Business/KTLO operations). Lead efforts to migrate teams away from disjointed standalone tracking sheets and custom scripts into Jira to create a single source of truth.
**Data Governance & Analytics Enablement:** Ensure data integrity within Jira to allow executive leadership to accurately assess resource allocation, identify horizontal dependencies, map organizational priorities, and make informed business investment decisions. Oversee configurations for integrated reporting engines (such as Faros.ai) to surface real-time visibility into engineering productivity metrics, cycle time, lead time, pipeline health, and bottleneck identification. Serve as a core member of the Jira Change Control Board (CCB), assessing risk levels of configuration requests to protect critical engineering dashboards and tracking filters.
**Direct Support & Enablement Packages:** Create intuitive, scalable enablement packages, documentation, and training guides for seamless platform onboarding. Act as an independent administrator managing day-to-day configuration requests, custom JQL filtering, role/privilege assignments, and automation rules. Collaborate deeply with internal customers—Developers, Scrum Masters, Engineering Managers, Design Leads, and Product Leads—to capture gaps and build creative process improvements.
By optimizing tooling configurations, automating reporting, and eliminating fragmented management processes, you will directly accelerate ORD's developer velocity and strengthen operational efficiency.
**Requirements:**
**Minimum Qualifications:**
- Bachelor's degree in Computer Science, Information Technology, Business Technology, or a related field; or equivalent practical experience
- Proven, hands-on experience in Advanced Jira and Confluence Administration within an enterprise-scale engineering ecosystem (supporting 500+ users)
- Essential proficiency with Jira Query Language (JQL), basic SQL, or equivalent database queries
- Hands-on experience integrating AI tools (Claude, Gemini, Atlassian Rovo, GitHub Copilot) into product development workflows, with demonstrated ability to evaluate, pilot, and scale AI capabilities across engineering teams
- Thorough understanding of agile/lean development, Scrum frameworks, sprint execution ceremonies, and SAFe/Portfolio-level planning models
- Deep conceptual awareness of modern software engineering practices, release management trains, CI/CD pipelines, and infrastructure deployment models
**Preferred Qualifications:**
- Deep experience leveraging Jira Service Management, Jira Advanced Roadmaps (Plans), and metrics platforms like Faros.ai
- Strong willingness or ability to extend native Atlassian functionality through scripting, macros, and API automations
- Excellent critical thinking and advanced troubleshooting capabilities using application logs and configuration event logs
- Stellar written and verbal communication skills; proven track record of synthesizing dense technical conditions into clear executive communication
- Experience designing AI-augmented workflows such as automated ticket enrichment, AI-driven sprint retrospectives, or LLM-assisted reporting that reduce manual TPM overhead
